The undergraduate grade point averages (UGPA) of students taking an admissions test in a recent year can be approximated by a normal distribution, as shown in the figure. (a) What is the minimum UGPA that would still place a student in the top 10 % of UGPAs? (b) Between what two values does the middle 50 % of the UGPAs lie?
The undergraduate grade point averages (UGPA) of students taking an admissions test in a recent year can be approximated by a normal distribution, as shown in the figure. (a) What is the minimum UGPA that would still place a student in the top 10 % of UGPAs? (b) Between what two values does the middle 50 % of the UGPAs lie?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The undergraduate grade point averages (UGPA) of students taking an admissions test in a recent year can be approximated by a normal distribution, as shown in the figure.
(a) What is the minimum UGPA that would still place a student in the top
10
%
of UGPAs?(b) Between what two values does the middle
50
%
of the UGPAs lie? |
|
3.2642.52Grade point average
mu equals 3.26
sigma equals 0.16
x
A normal curve labeled mu = 3.26 and sigma = 0.16 is over a horizontal x-axis labeled Grade point average from 2.52 to 4 in increments of 0.37 and is centered on 3.26.
|
(a) The minimum UGPA that would still place a student in the top
10
%
of UGPAs is
nothing
.
(Round to two decimal places as needed.)
(b) The middle
50
%
of UGPAs lies between
nothing
on the low end and
nothing
(Round to two decimal places as needed.)
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